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AIPS
2009

189views Artificial Intelligence» more AIPS 2009»

Computing Robust Plans in Continuous Domains

13 years 5 months ago

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We define the robustness of a sequential plan as the probability that it will execute successfully despite uncertainty in the execution environment. We consider a rich notion of u...

Christian Fritz, Sheila A. McIlraith

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Id	Views	Title	Status

1	189	Computing Robust Plans in Continuous Domains	claim
2	169	Semantic Attachments for Domain-Independent Planning Systems	claim
3	161	Navigation Planning in Probabilistic Roadmaps with Uncertainty	claim
4	151	Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing	claim
5	144	Efficient Solutions to Factored MDPs with Imprecise Transition Probabilities	claim
6	144	Flexible Execution of Plans with Choice	claim
7	142	Ant Search Strategies For Planning Optimization	claim
8	139	Multi-Agent Online Planning with Communication	claim
9	139	A Human-Aware Robot Task Planner	claim
10	132	Extended Goals for Composing Services	claim
11	127	A Semantics for HTN Methods	claim
12	127	An Optimal Temporally Expressive Planner: Initial Results and Application to P2P Network Optimization	claim
13	126	Automatic Derivation of Memoryless Policies and Finite-State Controllers Using Classical Planners	claim
14	124	A Decision-Theoretic Approach to Dynamic Sensor Selection in Camera Networks	claim
15	122	Structural-Pattern Databases	claim
16	122	Suboptimal and Anytime Heuristic Search on Multi-Core Machines	claim
17	121	The Influence of k-Dependence on the Complexity of Planning	claim
18	120	Optimality Properties of Planning Via Petri Net Unfolding: A Formal Analysis	claim
19	118	Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping	claim
20	118	Using the Context-enhanced Additive Heuristic for Temporal and Numeric Planning	claim
21	112	Scalable, Parallel Best-First Search for Optimal Sequential Planning	claim
22	112	Inference and Decomposition in Planning Using Causal Consistent Chains	claim
23	109	A Conformant Planner with Explicit Disjunctive Representation of Belief States	claim
24	108	Learning User Plan Preferences Obfuscated by Feasibility Constraints	claim
25	108	Enhancing the Context-Enhanced Additive Heuristic with Precedence Constraints	claim
26	104	Incremental Policy Generation for Finite-Horizon DEC-POMDPs	claim
27	104	Extending the Use of Inference in Temporal Planning as Forwards Search	claim
28	103	Just-In-Time Scheduling with Constraint Programming	claim
29	102	Using Distance Estimates in Heuristic Search	claim
30	100	Lower Bounding Klondike Solitaire with Monte-Carlo Planning	claim
31	99	Preferred Operators and Deferred Evaluation in Satisficing Planning	claim
32	99	Dynamic Controllability of Temporally-flexible Reactive Programs	claim
33	97	Minimal Sufficient Explanations for Factored Markov Decision Processes	claim
34	94	Landmarks, Critical Paths and Abstractions: What's the Difference Anyway?	claim
35	92	SAT-Based Parallel Planning Using a Split Representation of Actions	claim
36	92	Path-Adaptive A* for Incremental Heuristic Search in Unknown Terrain	claim
37	91	An Automatically Configurable Portfolio-based Planner with Macro-actions: PbP	claim
38	84	Improving Planning Performance Using Low-Conflict Relaxed Plans	claim
39	84	Integrating Planning and Scheduling in a CP Framework: A Transition-Based Approach	claim
40	83	Composition of Partially Observable Services Exporting their Behaviour	claim
41	79	Focused Topological Value Iteration	claim
42	76	Thinking Ahead in Real-Time Search	claim
43	65	Exploiting N-Gram Analysis to Predict Operator Sequences	claim

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